Parts-of-speech Tagging: (A Hybrid Approach with Rule Based and Machine Learning Techniques) - Sree Ganesh Thottempudi - 書籍 - LAP LAMBERT Academic Publishing - 9783843391481 - 2011年5月26日
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Parts-of-speech Tagging: (A Hybrid Approach with Rule Based and Machine Learning Techniques)

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発送予定日 年11月9日 - 年11月19日
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In corpus linguistics, part-of-speech tagging (POS tagging or POST), also called grammatical tagging or word-category disambiguation, is the process of marking up the words in a text (corpus) as corresponding to a particular part of speech, based on both its definition, as well as its context ?ie. relationship with adjacent and related words in a phrase, sentence, or paragraph. A simplified form of this is commonly taught to school-age children, in the identification of words as nouns, verbs,adjectives, adverbs, etc. Once performed by hand, POS tagging is now done in the context of computational linguistics, using algorithms which associate discrete terms, as well as hidden parts of speech, in accordance with a set of descriptive tags. (wiki)

メディア 書籍     Paperback Book   (ソフトカバーで背表紙を接着した本)
リリース済み 2011年5月26日
ISBN13 9783843391481
出版社 LAP LAMBERT Academic Publishing
ページ数 180
寸法 150 × 10 × 226 mm   ·   286 g
言語 ドイツ語